2020
DOI: 10.1287/trsc.2020.0983
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Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty

Abstract: Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and proactive approach to airline disruption management, which optimizes recovery decisions in response to realized disruptions and in anticipation of future disruptions. The approach forecasts future disruptions partially and probabilistically by estimating systemic delays at hub airports (and the uncertainty thereof) and ignoring … Show more

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Cited by 41 publications
(9 citation statements)
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References 59 publications
(57 reference statements)
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“…The proposed model reduces the disruption recovery costs by 1 to 4% compared to a baseline flight planning model. In later work, the authors show that using probabilistic forecasts reduces expected recovery costs by 1 to 2% more than using only real-time disruptions [20].…”
Section: Energy Modelmentioning
confidence: 98%
“…The proposed model reduces the disruption recovery costs by 1 to 4% compared to a baseline flight planning model. In later work, the authors show that using probabilistic forecasts reduces expected recovery costs by 1 to 2% more than using only real-time disruptions [20].…”
Section: Energy Modelmentioning
confidence: 98%
“…Also, there are several studies in the literature, which focus on real-time disruption management in airline operations to minimize delays. Lee et al (2020) propose a jointly reactive and proactive approach to airline disruption management, which optimizes recovery decisions in response to realized disruptions, and in anticipation of future disruptions. Chen and Solak (2020) develop a stochastic dynamic programming model to improve the efficiency of surface traffic management and departure operations.…”
Section: Production and Operations Managementmentioning
confidence: 99%
“…Contemporary research in traffic flow management focuses on the recovery approach, which is a reactive approach that handles delays when they arise [18]. Several congestion control methods, such as runway configuration switch [19], ground delay programmes, point-of-merge decision and aeronautical holding assignment can be applied to resolve the contemporary traffic condition, reduce unnecessary delays and offload congested air routes [20]. Therefore, the TTFP schedule should inherently include a certain degree of solution robustness and network resilience to increase the vulnerability of the disruption of airside operations.…”
Section: Literature Reviewmentioning
confidence: 99%